Evaluating Comfort in Fully Autonomous Vehicle Using Biological Emotion Map

Shoto Ueno, Runqing Zhang, Tipporn Laohakangvalvit, Midori Sugaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A development of fully autonomous-driving vehicle is approaching towards the more utilization of time in vehicle aiming at various purposes such as entertainment and relaxation. To achieve such purposes, it is necessary to provide a comfortable environment in the vehicle. Therefore, the goal of this study is to realize a new method to evaluate the comfort focusing on the interior space of the autonomous vehicle. We proposed an emotion map, to estimate and classify emotions by biological signal indexes. We performed an experiment to evaluate various scenarios with the simulated autonomous vehicle in which multimodal stimulus were presented. The experimental results indicated that the comfort increased during the autonomous driving. Therefore, we suggest that our proposed method is effective for evaluating the comfort for the interior of autonomous vehicle, and also applicable to other scenarios.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2021
EditorsNeville Stanton
PublisherSpringer Science and Business Media Deutschland GmbH
Pages323-330
Number of pages8
ISBN (Print)9783030800116
DOIs
Publication statusPublished - 2021
EventAHFE Conference on Human Aspects of Transportation, 2021 - Virtual, Online
Duration: 2021 Jul 252021 Jul 29

Publication series

NameLecture Notes in Networks and Systems
Volume270
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceAHFE Conference on Human Aspects of Transportation, 2021
CityVirtual, Online
Period21/7/2521/7/29

Keywords

  • Autonomous driving
  • Biological signals
  • Comfort
  • Emotion estimation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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